Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	898
Missing cells	456
Missing cells (%)	3.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	219.4 KiB
Average record size in memory	250.2 B

Variable types

Numeric	10
Categorical	3

Alerts

`nombre` has a high cardinality: 898 distinct values	High cardinality
`id` is highly correlated with `generacion`	High correlation
`generacion` is highly correlated with `id`	High correlation
`peso` is highly correlated with `altura` and 3 other fields	High correlation
`altura` is highly correlated with `peso` and 2 other fields	High correlation
`hp` is highly correlated with `peso` and 2 other fields	High correlation
`attack` is highly correlated with `peso` and 3 other fields	High correlation
`defense` is highly correlated with `peso` and 2 other fields	High correlation
`s_attack` is highly correlated with `s_defense`	High correlation
`s_defense` is highly correlated with `defense` and 1 other fields	High correlation
`id` is highly correlated with `generacion`	High correlation
`generacion` is highly correlated with `id`	High correlation
`peso` is highly correlated with `altura`	High correlation
`altura` is highly correlated with `peso`	High correlation
`defense` is highly correlated with `s_defense`	High correlation
`s_defense` is highly correlated with `defense`	High correlation
`id` is highly correlated with `generacion`	High correlation
`generacion` is highly correlated with `id`	High correlation
`peso` is highly correlated with `altura`	High correlation
`altura` is highly correlated with `peso`	High correlation
`id` is highly correlated with `generacion` and 1 other fields	High correlation
`generacion` is highly correlated with `id` and 1 other fields	High correlation
`peso` is highly correlated with `altura` and 3 other fields	High correlation
`altura` is highly correlated with `peso` and 1 other fields	High correlation
`tipo1` is highly correlated with `tipo2`	High correlation
`tipo2` is highly correlated with `id` and 2 other fields	High correlation
`hp` is highly correlated with `peso` and 3 other fields	High correlation
`attack` is highly correlated with `peso` and 3 other fields	High correlation
`defense` is highly correlated with `peso` and 3 other fields	High correlation
`s_attack` is highly correlated with `attack`	High correlation
`s_defense` is highly correlated with `defense`	High correlation
`tipo2` has 456 (50.8%) missing values	Missing
`id` is uniformly distributed	Uniform
`nombre` is uniformly distributed	Uniform
`id` has unique values	Unique
`nombre` has unique values	Unique

Reproduction

Analysis started	2022-05-27 17:56:53.434393
Analysis finished	2022-05-27 17:57:11.261406
Duration	17.83 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	898
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	449.5

Minimum	1
Maximum	898
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	45.85
Q1	225.25
median	449.5
Q3	673.75
95-th percentile	853.15
Maximum	898
Range	897
Interquartile range (IQR)	448.5

Descriptive statistics

Standard deviation	259.3745683
Coefficient of variation (CV)	0.5770290729
Kurtosis	-1.2
Mean	449.5
Median Absolute Deviation (MAD)	224.5
Skewness	0
Sum	403651
Variance	67275.16667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
674	1	0.1%
592	1	0.1%
593	1	0.1%
594	1	0.1%
595	1	0.1%
596	1	0.1%
597	1	0.1%
598	1	0.1%
599	1	0.1%
Other values (888)	888	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
898	1	0.1%
897	1	0.1%
896	1	0.1%
895	1	0.1%
894	1	0.1%
893	1	0.1%
892	1	0.1%
891	1	0.1%
890	1	0.1%
889	1	0.1%

nombre
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	898
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	56.9 KiB

bulbasaur	1
pancham	1
frillish	1
jellicent	1
alomomola	1
Other values (893)	893

Length

Max length	21
Median length	19
Mean length	7.751670379
Min length	3

Characters and Unicode

Total characters	6961
Distinct characters	30
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	898 ?
Unique (%)	100.0%

Sample

1st row	bulbasaur
2nd row	ivysaur
3rd row	venusaur
4th row	charmander
5th row	charmeleon

Common Values

Value	Count	Frequency (%)
bulbasaur	1	0.1%
pancham	1	0.1%
frillish	1	0.1%
jellicent	1	0.1%
alomomola	1	0.1%
joltik	1	0.1%
galvantula	1	0.1%
ferroseed	1	0.1%
ferrothorn	1	0.1%
klink	1	0.1%
Other values (888)	888	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bulbasaur	1	0.1%
octillery	1	0.1%
mankey	1	0.1%
kakuna	1	0.1%
venusaur	1	0.1%
charmander	1	0.1%
charmeleon	1	0.1%
charizard	1	0.1%
squirtle	1	0.1%
wartortle	1	0.1%
Other values (888)	888	98.9%

Most occurring characters

Value	Count	Frequency (%)
a	677	9.7%
e	631	9.1%
o	572	8.2%
r	551	7.9%
i	506	7.3%
l	450	6.5%
n	416	6.0%
t	379	5.4%
s	352	5.1%
u	281	4.0%
Other values (20)	2146	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6913	99.3%
Dash Punctuation	45	0.6%
Decimal Number	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	677	9.8%
e	631	9.1%
o	572	8.3%
r	551	8.0%
i	506	7.3%
l	450	6.5%
n	416	6.0%
t	379	5.5%
s	352	5.1%
u	281	4.1%
Other values (16)	2098	30.3%

Decimal Number

Value	Count	Frequency (%)
5	1	33.3%
0	1	33.3%
2	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6913	99.3%
Common	48	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	677	9.8%
e	631	9.1%
o	572	8.3%
r	551	8.0%
i	506	7.3%
l	450	6.5%
n	416	6.0%
t	379	5.5%
s	352	5.1%
u	281	4.1%
Other values (16)	2098	30.3%

Common

Value	Count	Frequency (%)
-	45	93.8%
5	1	2.1%
0	1	2.1%
2	1	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	677	9.7%
e	631	9.1%
o	572	8.2%
r	551	7.9%
i	506	7.3%
l	450	6.5%
n	416	6.0%
t	379	5.4%
s	352	5.1%
u	281	4.0%
Other values (20)	2146	30.8%

generacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.146993318

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.248397641
Coefficient of variation (CV)	0.5421753711
Kurtosis	-1.097725726
Mean	4.146993318
Median Absolute Deviation (MAD)	2
Skewness	0.1759072518
Sum	3724
Variance	5.055291953
Monotonicity	Increasing

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	156	17.4%
1	151	16.8%
3	135	15.0%
4	107	11.9%
2	100	11.1%
8	89	9.9%
7	88	9.8%
6	72	8.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	151	16.8%
2	100	11.1%
3	135	15.0%
4	107	11.9%
5	156	17.4%
6	72	8.0%
7	88	9.8%
8	89	9.9%

Value	Count	Frequency (%)
8	89	9.9%
7	88	9.8%
6	72	8.0%
5	156	17.4%
4	107	11.9%
3	135	15.0%
2	100	11.1%
1	151	16.8%

peso
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	439
Distinct (%)	48.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	639.7004454

Minimum	1
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	85
median	270
Q3	650
95-th percentile	2372.5
Maximum	9999
Range	9998
Interquartile range (IQR)	565

Descriptive statistics

Standard deviation	1194.302978
Coefficient of variation (CV)	1.866972247
Kurtosis	27.31190121
Mean	639.7004454
Median Absolute Deviation (MAD)	214.5
Skewness	4.682708779
Sum	574451
Variance	1426359.604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	11	1.2%
50	10	1.1%
280	10	1.1%
120	9	1.0%
40	9	1.0%
85	9	1.0%
300	9	1.0%
60	8	0.9%
3	8	0.9%
20	8	0.9%
Other values (429)	807	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.6%
2	2	0.2%
3	8	0.9%
4	2	0.2%
5	5	0.6%
6	3	0.3%
7	1	0.1%
8	2	0.2%
9	1	0.1%
10	11	1.2%

Value	Count	Frequency (%)
9999	2	0.2%
9500	2	0.2%
9200	1	0.1%
8880	1	0.1%
8200	1	0.1%
8000	2	0.2%
7500	1	0.1%
6830	1	0.1%
6500	1	0.1%
5500	1	0.1%

altura
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	53
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.8596882

Minimum	1
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	10
Q3	15
95-th percentile	26.15
Maximum	200
Range	199
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	12.34221805
Coefficient of variation (CV)	1.040686555
Kurtosis	81.15072709
Mean	11.8596882
Median Absolute Deviation (MAD)	5
Skewness	6.966495769
Sum	10650
Variance	152.3303464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	80	8.9%
4	70	7.8%
3	66	7.3%
10	64	7.1%
5	64	7.1%
12	53	5.9%
8	49	5.5%
15	46	5.1%
7	43	4.8%
11	39	4.3%
Other values (43)	324	36.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	0.7%
2	23	2.6%
3	66	7.3%
4	70	7.8%
5	64	7.1%
6	80	8.9%
7	43	4.8%
8	49	5.5%
9	35	3.9%
10	64	7.1%

Value	Count	Frequency (%)
200	1	0.1%
145	1	0.1%
92	2	0.2%
88	1	0.1%
70	1	0.1%
65	1	0.1%
62	1	0.1%
58	1	0.1%
55	2	0.2%
54	1	0.1%

tipo1
Categorical

HIGH CORRELATION

Distinct	18
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	54.7 KiB

water	123
normal	109
grass	86
bug	75
fire	58
Other values (13)	447

Length

Max length	8
Median length	7
Mean length	5.265033408
Min length	3

Characters and Unicode

Total characters	4728
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	grass
2nd row	grass
3rd row	grass
4th row	fire
5th row	fire

Common Values

Value	Count	Frequency (%)
water	123	13.7%
normal	109	12.1%
grass	86	9.6%
bug	75	8.4%
fire	58	6.5%
psychic	58	6.5%
rock	50	5.6%
electric	49	5.5%
dark	36	4.0%
fighting	36	4.0%
Other values (8)	218	24.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
water	123	13.7%
normal	109	12.1%
grass	86	9.6%
bug	75	8.4%
fire	58	6.5%
psychic	58	6.5%
rock	50	5.6%
electric	49	5.5%
fighting	36	4.0%
dark	36	4.0%
Other values (8)	218	24.3%

Most occurring characters

Value	Count	Frequency (%)
r	598	12.6%
a	406	8.6%
e	367	7.8%
g	337	7.1%
i	328	6.9%
s	326	6.9%
o	326	6.9%
c	292	6.2%
t	269	5.7%
n	253	5.4%
Other values (11)	1226	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4728	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	598	12.6%
a	406	8.6%
e	367	7.8%
g	337	7.1%
i	328	6.9%
s	326	6.9%
o	326	6.9%
c	292	6.2%
t	269	5.7%
n	253	5.4%
Other values (11)	1226	25.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4728	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	598	12.6%
a	406	8.6%
e	367	7.8%
g	337	7.1%
i	328	6.9%
s	326	6.9%
o	326	6.9%
c	292	6.2%
t	269	5.7%
n	253	5.4%
Other values (11)	1226	25.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4728	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	598	12.6%
a	406	8.6%
e	367	7.8%
g	337	7.1%
i	328	6.9%
s	326	6.9%
o	326	6.9%
c	292	6.2%
t	269	5.7%
n	253	5.4%
Other values (11)	1226	25.9%

tipo2
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	4.1%
Missing	456
Missing (%)	50.8%
Memory size	41.4 KiB

flying	95
poison	34
fairy	33
ground	32
psychic	32
Other values (13)	216

Length

Max length	8
Median length	7
Mean length	5.597285068
Min length	3

Characters and Unicode

Total characters	2474
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	poison
2nd row	poison
3rd row	poison
4th row	flying
5th row	flying

Common Values

Value	Count	Frequency (%)
flying	95	10.6%
poison	34	3.8%
fairy	33	3.7%
ground	32	3.6%
psychic	32	3.6%
dragon	25	2.8%
fighting	25	2.8%
steel	24	2.7%
grass	21	2.3%
ghost	20	2.2%
Other values (8)	101	11.2%
(Missing)	456	50.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
flying	95	21.5%
poison	34	7.7%
fairy	33	7.5%
ground	32	7.2%
psychic	32	7.2%
dragon	25	5.7%
fighting	25	5.7%
steel	24	5.4%
grass	21	4.8%
ghost	20	4.5%
Other values (8)	101	22.9%

Most occurring characters

Value	Count	Frequency (%)
i	278	11.2%
g	252	10.2%
n	217	8.8%
r	190	7.7%
o	166	6.7%
f	166	6.7%
y	160	6.5%
s	152	6.1%
l	133	5.4%
a	122	4.9%
Other values (11)	638	25.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2474	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	278	11.2%
g	252	10.2%
n	217	8.8%
r	190	7.7%
o	166	6.7%
f	166	6.7%
y	160	6.5%
s	152	6.1%
l	133	5.4%
a	122	4.9%
Other values (11)	638	25.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2474	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	278	11.2%
g	252	10.2%
n	217	8.8%
r	190	7.7%
o	166	6.7%
f	166	6.7%
y	160	6.5%
s	152	6.1%
l	133	5.4%
a	122	4.9%
Other values (11)	638	25.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2474	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	278	11.2%
g	252	10.2%
n	217	8.8%
r	190	7.7%
o	166	6.7%
f	166	6.7%
y	160	6.5%
s	152	6.1%
l	133	5.4%
a	122	4.9%
Other values (11)	638	25.8%

hp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	102
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.0311804

Minimum	1
Maximum	255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	1
5-th percentile	35
Q1	50
median	65
Q3	80
95-th percentile	110
Maximum	255
Range	254
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	26.21370723
Coefficient of variation (CV)	0.3797372011
Kurtosis	7.477145754
Mean	69.0311804
Median Absolute Deviation (MAD)	15
Skewness	1.688001125
Sum	61990
Variance	687.158447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	74	8.2%
70	64	7.1%
50	61	6.8%
65	50	5.6%
75	46	5.1%
40	46	5.1%
45	44	4.9%
80	43	4.8%
55	38	4.2%
100	35	3.9%
Other values (92)	397	44.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
10	1	0.1%
20	6	0.7%
25	4	0.4%
28	2	0.2%
30	15	1.7%
31	1	0.1%
35	16	1.8%
36	1	0.1%
37	1	0.1%

Value	Count	Frequency (%)
255	1	0.1%
250	1	0.1%
223	1	0.1%
200	1	0.1%
190	1	0.1%
170	1	0.1%
165	1	0.1%
160	1	0.1%
150	3	0.3%
144	1	0.1%

attack
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	112
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.54454343

Minimum	5
Maximum	181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	5
5-th percentile	30
Q1	55
median	75
Q3	95
95-th percentile	130
Maximum	181
Range	176
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	29.66555905
Coefficient of variation (CV)	0.3875594226
Kurtosis	-0.345890652
Mean	76.54454343
Median Absolute Deviation (MAD)	20
Skewness	0.2935451874
Sum	68737
Variance	880.0453938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	42	4.7%
60	41	4.6%
65	41	4.6%
80	41	4.6%
85	38	4.2%
90	37	4.1%
50	37	4.1%
55	36	4.0%
75	36	4.0%
70	34	3.8%
Other values (102)	515	57.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.2%
10	3	0.3%
15	1	0.1%
20	10	1.1%
22	1	0.1%
23	1	0.1%
24	1	0.1%
25	8	0.9%
27	1	0.1%
28	1	0.1%

Value	Count	Frequency (%)
181	1	0.1%
165	1	0.1%
160	2	0.2%
150	4	0.4%
147	1	0.1%
145	1	0.1%
143	1	0.1%
140	4	0.4%
139	1	0.1%
137	2	0.2%

defense
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	107
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.88641425

Minimum	5
Maximum	230
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	5
5-th percentile	35
Q1	50
median	67
Q3	90
95-th percentile	129.15
Maximum	230
Range	225
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	29.53618445
Coefficient of variation (CV)	0.410872969
Kurtosis	2.167346151
Mean	71.88641425
Median Absolute Deviation (MAD)	18
Skewness	1.047886684
Sum	64554
Variance	872.386192
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	60	6.7%
60	55	6.1%
70	52	5.8%
80	45	5.0%
40	44	4.9%
65	43	4.8%
90	41	4.6%
55	38	4.2%
45	37	4.1%
100	35	3.9%
Other values (97)	448	49.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	0.2%
10	1	0.1%
15	4	0.4%
20	5	0.6%
23	1	0.1%
25	2	0.2%
28	2	0.2%
30	17	1.9%
31	1	0.1%
32	2	0.2%

Value	Count	Frequency (%)
230	1	0.1%
211	1	0.1%
200	2	0.2%
184	1	0.1%
180	2	0.2%
168	1	0.1%
160	1	0.1%
152	1	0.1%
150	4	0.4%
145	3	0.3%

speed
Real number (ℝ_≥0)

Distinct	117
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.94988864

Minimum	5
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	5
5-th percentile	25
Q1	45
median	65
Q3	85
95-th percentile	115
Maximum	200
Range	195
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	28.45659616
Coefficient of variation (CV)	0.4314881609
Kurtosis	0.09212427274
Mean	65.94988864
Median Absolute Deviation (MAD)	20
Skewness	0.4437242026
Sum	59223
Variance	809.7778651
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	51	5.7%
60	51	5.7%
65	44	4.9%
70	43	4.8%
30	41	4.6%
40	38	4.2%
45	36	4.0%
80	36	4.0%
85	32	3.6%
90	32	3.6%
Other values (107)	494	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	3	0.3%
10	4	0.4%
13	1	0.1%
15	12	1.3%
20	16	1.8%
22	1	0.1%
23	4	0.4%
24	1	0.1%
25	11	1.2%
26	1	0.1%

Value	Count	Frequency (%)
200	1	0.1%
160	1	0.1%
151	1	0.1%
150	2	0.2%
145	1	0.1%
143	1	0.1%
142	1	0.1%
138	2	0.2%
136	1	0.1%
130	7	0.8%

s_attack
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	105
Distinct (%)	11.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.68151448

Minimum	10
Maximum	173
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	10
5-th percentile	30
Q1	46.25
median	65
Q3	90
95-th percentile	125
Maximum	173
Range	163
Interquartile range (IQR)	43.75

Descriptive statistics

Standard deviation	29.37260938
Coefficient of variation (CV)	0.4215265641
Kurtosis	-0.1623685193
Mean	69.68151448
Median Absolute Deviation (MAD)	20
Skewness	0.5730536741
Sum	62574
Variance	862.7501819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	63	7.0%
60	58	6.5%
50	49	5.5%
65	47	5.2%
55	45	5.0%
45	37	4.1%
80	36	4.0%
70	36	4.0%
100	35	3.9%
95	33	3.7%
Other values (95)	459	51.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	3	0.3%
15	3	0.3%
20	10	1.1%
23	1	0.1%
24	2	0.2%
25	13	1.4%
27	2	0.2%
29	3	0.3%
30	29	3.2%
31	1	0.1%

Value	Count	Frequency (%)
173	1	0.1%
154	1	0.1%
151	1	0.1%
150	7	0.8%
145	5	0.6%
137	2	0.2%
136	1	0.1%
135	5	0.6%
134	1	0.1%
131	2	0.2%

s_defense
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	99
Distinct (%)	11.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.87639198

Minimum	20
Maximum	230
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.1 KiB

Quantile statistics

Minimum	20
5-th percentile	30.85
Q1	50
median	65
Q3	85
95-th percentile	120
Maximum	230
Range	210
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	27.01214227
Coefficient of variation (CV)	0.3865703638
Kurtosis	1.724817562
Mean	69.87639198
Median Absolute Deviation (MAD)	17
Skewness	0.8834179979
Sum	62749
Variance	729.65583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	64	7.1%
60	53	5.9%
70	50	5.6%
80	49	5.5%
55	48	5.3%
75	45	5.0%
65	45	5.0%
90	41	4.6%
45	40	4.5%
40	39	4.3%
Other values (89)	424	47.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	6	0.7%
23	1	0.1%
25	12	1.3%
30	26	2.9%
31	3	0.3%
32	1	0.1%
33	1	0.1%
34	1	0.1%
35	23	2.6%
36	1	0.1%

Value	Count	Frequency (%)
230	1	0.1%
200	1	0.1%
154	3	0.3%
150	5	0.6%
142	1	0.1%
140	3	0.3%
138	1	0.1%
135	3	0.3%
132	1	0.1%
131	2	0.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	nombre	generacion	peso	altura	tipo1	tipo2	hp	attack	defense	speed	s_attack	s_defense
0	1	bulbasaur	1	69	7	grass	poison	45	49	49	45	65	65
1	2	ivysaur	1	130	10	grass	poison	60	62	63	60	80	80
2	3	venusaur	1	1000	20	grass	poison	80	82	83	80	100	100
3	4	charmander	1	85	6	fire	None	39	52	43	65	60	50
4	5	charmeleon	1	190	11	fire	None	58	64	58	80	80	65
5	6	charizard	1	905	17	fire	flying	78	84	78	100	109	85
6	7	squirtle	1	90	5	water	None	44	48	65	43	50	64
7	8	wartortle	1	225	10	water	None	59	63	80	58	65	80
8	9	blastoise	1	855	16	water	None	79	83	100	78	85	105
9	10	caterpie	1	29	3	bug	None	45	30	35	45	20	20

Last rows

	id	nombre	generacion	peso	altura	tipo1	tipo2	hp	attack	defense	speed	s_attack	s_defense
888	889	zamazenta	8	2100	29	fighting	None	92	130	115	138	80	115
889	890	eternatus	8	9500	200	poison	dragon	140	85	95	130	145	95
890	891	kubfu	8	120	6	fighting	None	60	90	60	72	53	50
891	892	urshifu-single-strike	8	1050	19	fighting	dark	100	130	100	97	63	60
892	893	zarude	8	700	18	dark	grass	105	120	105	105	70	95
893	894	regieleki	8	1450	12	electric	None	80	100	50	200	100	50
894	895	regidrago	8	2000	21	dragon	None	200	100	50	80	100	50
895	896	glastrier	8	8000	22	ice	None	100	145	130	30	65	110
896	897	spectrier	8	445	20	ghost	None	100	65	60	130	145	80
897	898	calyrex	8	77	11	psychic	grass	100	80	80	80	80	80

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows